Table 27: Effect of GAP on cassava, sorghum and rice production Variables Estimate Cassava Sorghum Output Before adoption of GAP Average 9442.105 1186.185 Min 5000 320 Max 18000 6000 SD 3092.31 1135.15 CV(%) 32.752 95.69 Output after adoption of GAP
Average Min Max SD CV(%)
16259.44 9000 25000 4469.934 27.49131
t-statistics ***P<0.001
4.46***
2450.05 365 7500 1890.35 77.15 5.68***
Rice 3210.03 800.00 18750.00 2911.06 90.69 5384.55 1500.00 26250.00 4174.24 77.52 7.16***
Figure 8: Yields of crops per ha before and ATASp-1 implementation in the SCPZs 5.3.2 Effect of GAP on farmers' income per ha (Cassava, Sorghum and Rice farmers) This section discussed the effect of good agronomic practices GAP in participating farmers' income. From the significant improvement recorded in yields after project compared with the yields before project, it is very obvious that there would be significant increase in income. However we have to do these analyses to enable us know how significant the increase in income would be. From table 28, it has been discovered that the income per hectare before project was N472105.3compared with income after project at N812972.2 which was significant at 1% level of probability when subjected to t-statistical difference. The significant increase in income is attributable to project effect that has resulted in significant yields over above the pre-project yields and consequently income.
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